Evidence map›Paper›PMID 39610673›Full record

ArticleJournal of respiratory biology and translational medicine2024

Diversity and Meta-Analysis of Microbial Differential Abundance in Nasal Metatranscriptomic Profiles of Asthma.

Andrew Li, Molin Yue, Xiangyu Ye, Kristina Gaietto, Anna F Wang-Erickson, Wei Chen

Abstract read
In one paragraph

Article in Journal of respiratory biology and translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Andrew LiDepartment of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.
Molin YueDepartment of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.
Xiangyu YeDepartment of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.
Kristina GaiettoDepartment of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.
Anna F Wang-EricksonDepartment of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.
Wei ChenDepartment of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.

Funding

Institutional Career Development CoreKL2TR001856 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI RAY, KRISTIN N, RUBIO, DORIS M · 2016 to 2025
$13.8M
NCATS NIH HHS KL2 TR001856
6 · The paper itself

Abstract

Asthma affects millions worldwide and involves complex genetic, immunological, and environmental factors. The nasal microbiome is increasingly recognized for its role in asthma development, but inconsistent results and small sample sizes have limited a clear understanding. We aimed to clarify the nasal microbiome's role in asthma using large datasets and meta-transcriptomic analysis. RNA-seq data was analyzed from two large public studies: GALA II (694 children of Puerto Rican heritage; 441 asthmatics, 253 controls) and CAAPA (562 individuals of African ancestry; 265 asthmatics, 297 controls). After quality control and host read removal, microbial reads were annotated using Kraken2. α and β diversity analyses compared microbial diversity between asthmatic and control groups. Differential abundance analysis was conducted separately, controlling for age and sex, with results combined via meta-analysis. We found that asthmatic patients exhibited significantly higher α diversity indices (Shannon, Berger-Parker, Inverse Simpson, Fisher's) in nasal microbiota compared to controls in GALA II, with similar trends in CAAPA. β diversity analysis showed significant differences in microbial composition in GALA II data. Differential abundance analysis identified 20 species in GALA II and 9 species in CAAPA significantly associated with asthma. Meta-analysis revealed 11 species significantly associated with asthma, including

Indexed as

Alpha diversityAsthmaBeta diversityDifferential abundance analysisMeta-analysisMeta-transcriptomicsNasal microbiome

Identifiers

PMID39610673
PMCPMC11600520

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.